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Intelligent Engineering Systems through Artificial Neural Networks, Volume 20

Cihan H. Dagli
Cihan H. Dagli
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ASME Press
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Human face detection is an important step in any human face processing applications such as human face recognition systems, surveillance systems, face tracking, expression recognition, etc. One of the problems with face detection is the fact that the human face is a non-rigid object that is characterized by large variations and this is difficult to model. Despite all the past efforts, many face detection methods are still too inflexible to be applicable for real world applications. In this paper, our goal is to improve previous appearance-based face detection work. We examine the use of the texture correlation feature with the SVM. It can help to address some shortcomings of systems using grey scale features.

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